In this article, I will discuss key security concerns and strategies for small businesses to protect themselves against ...

The paper proposes a smart signature-based Intrusion Detection System (IDS) enhanced with pre-scaled machine learning techniques for large-scale ... deployment on cloud and host-based systems, using ...

The proliferation of IoT systems comes with the hazard of network attacks such as denial of service (DoS) and spoofing. Lot of experimenter have worked on IDS development using machine learning ...

Abstract: Deploying machine learning (ML)-based intrusion detection systems (IDS) is an effective way to improve ... including injection attack, function code attack and reconnaissance attack, and ...

An intelligent Intrusion Detection System designed using machine learning, combining neural networks with ensemble methods such as boosting, bagging, and stacking. This approach enhances the accuracy ...

A novel attack exploited machine learning models on PyPI, using zipped Pickle files to deliver infostealer malware ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

A research team has developed autonomous driving software that allows inexpensive sensors to detect transparent obstacles ...

The Indian Army destroyed Pakistan’s drones using its robust air defence system. The Air Force used the Advanced Counter UAV System (CUAS) to neutralise Pakistan’s drone. The Advanced Counter ...